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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Simon, A.M. Kelly, B.M. Ferris, D.P. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Biomedical Engineering, Department of Physical Medicine and Rehabilitation, and the Division of Kinesiology, University of Michigan, Ann Arbor, MI 48109 USA (Ferris, D.P.) || Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109 USA (Simon, A.M.) || Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI 48109 USA (Kelly, B.M.) |
| Abstract | We tested a novel control strategy for robotic rehabilitation devices used by individuals with post-stroke hemiparesis. Symmetry-based resistance increases resistance when limb forces become more asymmetric during bilateral exercise. The underlying rationales for the control mode are that it will guide patients to increase paretic limb activation while teaching them to accurately gauge paretic limb force production relative to the non-paretic limb. During a one day training session, seven subjects post-stroke performed lower limb extensions in symmetry-based resistance mode on a robotic exercise machine. Subjects improved lower limb symmetry from 28.6%±3.9% to 36.2%±4.3% while under symmetry-based resistance training (ANOVA, P = 3D0.03), but did not maintain the improved lower limb symmetry during a constant resistance post-test. Two subjects that showed the large improvements in symmetry during the one day session performed additional days of training. Those results suggest that some patients demonstrate long lasting benefits with symmetry-based resistance training. |
| Starting Page | 5294 |
| Ending Page | 5299 |
| File Size | 917831 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424432967 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2009.5333512 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Immune system Muscles Biological control systems Neurofeedback Production Medical treatment Testing Robot kinematics Force control Biomedical engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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